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Remote Modeling Simulation Engineer Jobs in Colorado

Auria

Technical Program Manager

Colorado Springs, CO · On-site +1

$145K - $180K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... modeling/simulation frameworks, and satellite operations. * Lead the planning and execution of ...

SAIC

Software Engineer Internship

Colorado Springs, CO · On-site +1

$40K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a rising college senior ... Develop modeling and simulation using MATLAB and STK. * Support Agile PI Planning events. Areas of ...

SAIC

Software Engineer Internship

Colorado Springs, CO · On-site +1

$40K/yr

Secret Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a rising college senior ... Develop modeling and simulation using MATLAB and STK. * Support Agile PI Planning events. Areas of ...

Lockheed Martin

Embedded Software Engineer Staff

Boulder, CO · On-site +1

$138.40K - $182.10K/yr

... engineer to support ongoing programs and internal research and development efforts focused ... on remote sensing data processing, exploitation applications, and simulations. In this position ...

Lockheed Martin

Embedded Software Engineer Sr

Boulder, CO · On-site +1

$130.50K - $171K/yr

... engineer to support ongoing programs and internal research and development efforts focused ... on remote sensing data processing, exploitation applications, and simulations. In this position ...

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Remote Modeling Simulation Engineer information

What are the key skills and qualifications needed to thrive as a Remote Modeling Simulation Engineer, and why are they important?

To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.

How does a Remote Modeling Simulation Engineer typically collaborate with cross-functional teams despite working remotely?

Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.

What are Remote Modeling Simulation Engineers?

Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.

What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?

AspectRemote Modeling Simulation EngineerRemote Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; experience with simulation softwareBachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering teams, simulation labs, software development settingsBusiness, finance, healthcare, or tech companies analyzing data sets
Industry UsageManufacturing, aerospace, automotive, defenseFinance, marketing, healthcare, technology
Common Search/ComparisonYesYes

The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.

What are the most commonly searched types of Modeling Simulation Engineer jobs in Colorado? The most popular types of Modeling Simulation Engineer jobs in Colorado are:
What are popular job titles related to Remote Modeling Simulation Engineer jobs in Colorado? For Remote Modeling Simulation Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Modeling Simulation Engineer jobs in Colorado look for? The top searched job categories for Remote Modeling Simulation Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Modeling Simulation Engineer jobs? Cities in Colorado with the most Remote Modeling Simulation Engineer job openings:
Remote Modeling Simulation Engineer jobs near you
Infographic showing various Remote Modeling Simulation Engineer job openings in Colorado as of May 2026, with employment types broken down into 3% As Needed, 72% Full Time, 21% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Colorado Springs, CO • On-site, Remote

$140K - $220K/yr

Full-time

Posted 14 days ago

Job description

Overview
Frontier Technology Inc. (FTI) is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.
FTI delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.
Responsibilities
Software Design & Development
  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments
  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing
  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration
  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment
  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.

Education/Qualifications
Minimum Requirements:
  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

Preferred Qualifications:
  • Experience deploying code in IL4-IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.
*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.
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